Within the framework in which the
Posted: Sun Dec 22, 2024 5:36 am
Goals
The first step to creating an adequate data strategy campaign: indicate the objectives to be achieved. Collecting numerical information just for the sake of being able to count on a big data archive is useless. These resources must have a purpose otherwise they become just an expensive vice.
strategy based on numerical values is born , it is necessary to philippines phone number list define goals in terms of business, adequate to the needs. To then activate a translation process into KPIs. That is, Key Performance indicators, adequate values to measure the actual success of the campaign. Without these steps, it is useless to think about a data strategy, whether advanced or embryonic.
Requirements
Once the objectives have been defined, we can think about the universe of requirements. First of all, the data: can we invest infinite resources to collect any type of information left on the web? Absolutely not , all of this is an economic investment, so we need to think about data with known characteristics.
Just as this graph from the European Commission suggests , which places the evaluation of values at the center of the roadmap to create an effective data strategy. Which must be useful , verifiable, complete and easy to interpret. All this helps you in the next step.
Capturing
Once you have identified your objectives and clarified your needs in terms of requirements, you need to start the data capturing work . That is, the collection of values useful to your business with the related archiving and organization work.
The first step to creating an adequate data strategy campaign: indicate the objectives to be achieved. Collecting numerical information just for the sake of being able to count on a big data archive is useless. These resources must have a purpose otherwise they become just an expensive vice.
strategy based on numerical values is born , it is necessary to philippines phone number list define goals in terms of business, adequate to the needs. To then activate a translation process into KPIs. That is, Key Performance indicators, adequate values to measure the actual success of the campaign. Without these steps, it is useless to think about a data strategy, whether advanced or embryonic.
Requirements
Once the objectives have been defined, we can think about the universe of requirements. First of all, the data: can we invest infinite resources to collect any type of information left on the web? Absolutely not , all of this is an economic investment, so we need to think about data with known characteristics.
Just as this graph from the European Commission suggests , which places the evaluation of values at the center of the roadmap to create an effective data strategy. Which must be useful , verifiable, complete and easy to interpret. All this helps you in the next step.
Capturing
Once you have identified your objectives and clarified your needs in terms of requirements, you need to start the data capturing work . That is, the collection of values useful to your business with the related archiving and organization work.